Abstract In this paper we describe a novel methodology for holding educational robot competitions that has been developed within the RoboCup@Home Educational initiative. The is based on two main elements: (1) workshop + competition format where teaching material interwoven with competitive tasks; (2) team-centered approach, rules and are tailored to participant teams maximize experience student...

Multi-agent coordination and strategic planning are two of the major research topics in the context of RoboCup. However, innovations in these areas are often developed and applied to only one domain and a single RoboCup league, without proper generalization. Also, although the importance of the concept of Setplay, to structure the team’s behaviour, has been recognized by many researchers, no ge...

RoboCup is an international robot soccer competition that has been running since 1997. A frequent criticism of any such competition is that all of a team’s development is narrowly focussed on a very specific task and consequently, little contribution is made to science. In this paper, we describe our involvement in the RoboCup four-legged robot league and show how the competition has, indeed, r...

In this paper we argue that RoboCup is a useful tool for the teaching of AI in undergraduate education. We provide case studies, from two Swedish universities, of how RoboCup based AI courses can be implemented using a problem based approach. Although the courses were successful there are significant areas for improvement. Firstly, to help students cope with the complexity of the domain we deve...

RoboCup is an attempt to foster AI and robotics research by providing a common task for evaluation of various theories, algorithms, and agent architectures. In RoboCup simulation league, software agents play soccer games on an official soccer server over the network. When constructing these software agents, issues in area of agent architecture arise to satisfy the properties specified by agent ...